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BEGIN:VEVENT
DTSTAMP:20260817T171516Z
LOCATION:Hall C\, C Block\, Level 4
DTSTART;TZID=Asia/Tokyo:20241203T090000
DTEND;TZID=Asia/Tokyo:20241203T120000
UID:siggraphasia_SIGGRAPH Asia 2024_sess223_papers_148@linklings.com
SUMMARY:MiNNIE: a Mixed Multigrid Method for Real-time Simulation of Nonli
 near Near-Incompressible Elastics
DESCRIPTION:Liangwang Ruan (Peking University), Bin Wang (Beijing Institut
 e for General Artificial Intelligence), Tiantian Liu (Taichi Graphics), an
 d Baoquan Chen (Peking University)\n\nWe propose MiNNIE, a simple yet comp
 rehensive framework for real-time simulation of nonlinear near-incompressi
 ble elastics. To avoid the common volumetric locking issues at high Poisso
 n's ratios of linear finite element methods (FEM), we build MiNNIE upon a 
 mixed FEM framework and further incorporate a pressure stabilization term 
 to ensure excellent convergence of multigrid solvers. Our pressure stabili
 zation strategy injects bounded influence on nodal displacement which can 
 be eliminated using a quasi-Newton method. MiNNIE has a specially tailored
  GPU multigrid solver including a modified skinning-space interpolation sc
 heme, a novel vertex Vanka smoother, and an efficient dense solver using S
 chur complement. MiNNIE supports various elastic material models and simul
 ates them in real-time, supporting a full range of Poisson's ratios up to 
 0.5 while handling large deformations, element inversions, and self-collis
 ions at the same time.\n\nRegistration Category: Enhanced Access, Full Acc
 ess, Full Access Supporter\n\nLanguage Format: English Language\n\n
URL:https://asia.siggraph.org/2024/program/?id=papers_148&sess=sess141
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